<!DOCTYPE html>



  


<html class="theme-next mist use-motion" lang="zh-Hans">
<head>
  <meta charset="UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1"/>
<meta name="theme-color" content="#222">









<meta http-equiv="Cache-Control" content="no-transform" />
<meta http-equiv="Cache-Control" content="no-siteapp" />
















  
  
    
  
  <link href="//cdn.bootcdn.net/ajax/libs/fancybox/2.1.5/jquery.fancybox.css" rel="stylesheet" type="text/css" />







  

<link href="//libs.baidu.com/fontawesome/4.0.3/css/font-awesome.min.css" rel="stylesheet" type="text/css" />

<link href="/css/main.css?v=5.1.4" rel="stylesheet" type="text/css" />


  <link rel="apple-touch-icon" sizes="180x180" href="/images/apple-touch-icon-next.png?v=5.1.4">


  <link rel="icon" type="image/png" sizes="32x32" href="/images/favicon-32x32-next.png?v=5.1.4">


  <link rel="icon" type="image/png" sizes="16x16" href="/images/favicon-16x16-next.png?v=5.1.4">


  <link rel="mask-icon" href="/images/logo.svg?v=5.1.4" color="#222">





  <meta name="keywords" content="Hadoop,大数据," />










<meta name="description" content="1.说明​    WordCount 是hadoop官方提供的一个非常经典的案例，这个方法用于统计输入的文件相同单词个数的统计！">
<meta property="og:type" content="article">
<meta property="og:title" content="Hadoop-WordCount-经典案例">
<meta property="og:url" content="https://uniquenan.gitee.io/2020/05/07/Hadoop-WordCount-%E7%BB%8F%E5%85%B8%E6%A1%88%E4%BE%8B/index.html">
<meta property="og:site_name" content="楠-ReNames">
<meta property="og:description" content="1.说明​    WordCount 是hadoop官方提供的一个非常经典的案例，这个方法用于统计输入的文件相同单词个数的统计！">
<meta property="article:published_time" content="2020-05-07T03:41:30.000Z">
<meta property="article:modified_time" content="2020-05-07T03:41:30.000Z">
<meta property="article:author" content="楠">
<meta property="article:tag" content="Hadoop">
<meta property="article:tag" content="大数据">
<meta name="twitter:card" content="summary">



<script type="text/javascript" id="hexo.configurations">
  var NexT = window.NexT || {};
  var CONFIG = {
    root: '/',
    scheme: 'Mist',
    version: '5.1.4',
    sidebar: {"position":"left","display":"post","offset":12,"b2t":false,"scrollpercent":false,"onmobile":false},
    fancybox: true,
    tabs: true,
    motion: {"enable":true,"async":false,"transition":{"post_block":"fadeIn","post_header":"slideDownIn","post_body":"slideDownIn","coll_header":"slideLeftIn","sidebar":"slideUpIn"}},
    duoshuo: {
      userId: '0',
      author: '博主'
    },
    algolia: {
      applicationID: '',
      apiKey: '',
      indexName: '',
      hits: {"per_page":10},
      labels: {"input_placeholder":"Search for Posts","hits_empty":"We didn't find any results for the search: ${query}","hits_stats":"${hits} results found in ${time} ms"}
    }
  };
</script>



  <link rel="canonical" href="https://uniquenan.gitee.io/2020/05/07/Hadoop-WordCount-经典案例/"/>





  <title>Hadoop-WordCount-经典案例 | 楠-ReNames</title>
  








<meta name="generator" content="Hexo 4.2.1"></head>

<body itemscope itemtype="http://schema.org/WebPage" lang="zh-Hans">

  
  
    
  

  <div class="container sidebar-position-left page-post-detail">
    <div class="headband"></div>

    <header id="header" class="header" itemscope itemtype="http://schema.org/WPHeader">
      <div class="header-inner"><div class="site-brand-wrapper">
  <div class="site-meta ">
    

    <div class="custom-logo-site-title">
      <a href="/"  class="brand" rel="start">
        <span class="logo-line-before"><i></i></span>
        <span class="site-title">楠-ReNames</span>
        <span class="logo-line-after"><i></i></span>
      </a>
    </div>
      
        <p class="site-subtitle"></p>
      
  </div>

  <div class="site-nav-toggle">
    <button>
      <span class="btn-bar"></span>
      <span class="btn-bar"></span>
      <span class="btn-bar"></span>
    </button>
  </div>
</div>

<nav class="site-nav">
  

  
    <ul id="menu" class="menu">
      
        
        <li class="menu-item menu-item-home">
          <a href="/" rel="section">
            
              <i class="menu-item-icon fa fa-fw fa-home"></i> <br />
            
            首页
          </a>
        </li>
      
        
        <li class="menu-item menu-item-tags">
          <a href="/tags/" rel="section">
            
              <i class="menu-item-icon fa fa-fw fa-tags"></i> <br />
            
            标签
          </a>
        </li>
      
        
        <li class="menu-item menu-item-archives">
          <a href="/archives/" rel="section">
            
              <i class="menu-item-icon fa fa-fw fa-archive"></i> <br />
            
            归档
          </a>
        </li>
      

      
        <li class="menu-item menu-item-search">
          
            <a href="javascript:;" class="popup-trigger">
          
            
              <i class="menu-item-icon fa fa-search fa-fw"></i> <br />
            
            搜索
          </a>
        </li>
      
    </ul>
  

  
    <div class="site-search">
      
  <div class="popup search-popup local-search-popup">
  <div class="local-search-header clearfix">
    <span class="search-icon">
      <i class="fa fa-search"></i>
    </span>
    <span class="popup-btn-close">
      <i class="fa fa-times-circle"></i>
    </span>
    <div class="local-search-input-wrapper">
      <input autocomplete="off"
             placeholder="搜索..." spellcheck="false"
             type="text" id="local-search-input">
    </div>
  </div>
  <div id="local-search-result"></div>
</div>



    </div>
  
</nav>



 </div>
    </header>

    <main id="main" class="main">
      <div class="main-inner">
        <div class="content-wrap">
          <div id="content" class="content">
            

  <div id="posts" class="posts-expand">
    

  

  
  
  

  <article class="post post-type-normal" itemscope itemtype="http://schema.org/Article">
  
  
  
  <div class="post-block">
    <link itemprop="mainEntityOfPage" href="https://uniquenan.gitee.io/2020/05/07/Hadoop-WordCount-%E7%BB%8F%E5%85%B8%E6%A1%88%E4%BE%8B/">

    <span hidden itemprop="author" itemscope itemtype="http://schema.org/Person">
      <meta itemprop="name" content="楠">
      <meta itemprop="description" content="">
      <meta itemprop="image" content="/images/avatar.gif">
    </span>

    <span hidden itemprop="publisher" itemscope itemtype="http://schema.org/Organization">
      <meta itemprop="name" content="楠-ReNames">
    </span>

    
      <header class="post-header">

        
        
          <h1 class="post-title" itemprop="name headline">Hadoop-WordCount-经典案例</h1>
        

        <div class="post-meta">
          <span class="post-time">
            
              <span class="post-meta-item-icon">
                <i class="fa fa-calendar-o"></i>
              </span>
              
                <span class="post-meta-item-text">发表于</span>
              
              <time title="创建于" itemprop="dateCreated datePublished" datetime="2020-05-07T11:41:30+08:00">
                2020-05-07
              </time>
            

            

            
          </span>

          

          
            
          

          
          
             <span id="/2020/05/07/Hadoop-WordCount-%E7%BB%8F%E5%85%B8%E6%A1%88%E4%BE%8B/" class="leancloud_visitors" data-flag-title="Hadoop-WordCount-经典案例">
               <span class="post-meta-divider">|</span>
               <span class="post-meta-item-icon">
                 <i class="fa fa-eye"></i>
               </span>
               
                 <span class="post-meta-item-text">阅读次数&#58;</span>
               
                 <span class="leancloud-visitors-count"></span>
             </span>
          

          

          

          

        </div>
      </header>
    

    
    
    
    <div class="post-body" itemprop="articleBody">

      
      

      
        <h1 id="1-说明"><a href="#1-说明" class="headerlink" title="1.说明"></a>1.说明</h1><p>​    WordCount 是hadoop官方提供的一个非常经典的案例，这个方法用于统计输入的文件相同单词个数的统计！</p>
<a id="more"></a>

<h1 id="2-本地模式-准备"><a href="#2-本地模式-准备" class="headerlink" title="2.本地模式 - 准备"></a>2.本地模式 - 准备</h1><blockquote>
<p>注意：以下操作仅支持本地模式测试</p>
</blockquote>
<p>​    <strong><u>创建一个input文件夹</u></strong>，hadoop的所有运算都必须有一个输入文件夹用于存放输入文件(就是需要计算的文件)，同时需要一个输出文件夹用于存放计算结果。需要注意的是，<strong><u>output文件必须不能存在</u></strong>，否则会抛出文件已存在的异常。</p>
<h1 id="3-本地模式-执行计算"><a href="#3-本地模式-执行计算" class="headerlink" title="3.本地模式 -执行计算"></a>3.本地模式 -执行计算</h1><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">bin&#x2F;hadoop jar share&#x2F;hadoop&#x2F;mapreduce&#x2F;hadoop-mapreduce-examples-3.1.1.jar wordcount input&#x2F; output</span><br></pre></td></tr></table></figure>

<h1 id="4-本地模式-查看结果"><a href="#4-本地模式-查看结果" class="headerlink" title="4.本地模式 -查看结果"></a>4.本地模式 -查看结果</h1><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">more &#x2F;output&#x2F;*</span><br></pre></td></tr></table></figure>





<h1 id="5-集群模式"><a href="#5-集群模式" class="headerlink" title="5.集群模式"></a>5.集群模式</h1><ul>
<li><p>创建input目录</p>
<ul>
<li><p>bin/hdfs dfs -mkdir -p /nan/test/input</p>
</li>
<li><p>将本地创建的input文件上传到集群目录的input中</p>
</li>
<li><p>bin/hdfs dfs -put ./input/* /nan/test/input</p>
</li>
</ul>
</li>
<li><p>执行计算</p>
<ul>
<li>注意：这里的input目录位置换成了集群目录</li>
</ul>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">bin&#x2F;hadoop jar share&#x2F;hadoop&#x2F;mapreduce&#x2F;hadoop-mapreduce-examples-3.1.1.jar wordcount &#x2F;nan&#x2F;test&#x2F;input&#x2F; output</span><br></pre></td></tr></table></figure>
</li>
<li><p>执行过程</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br><span class="line">57</span><br><span class="line">58</span><br><span class="line">59</span><br><span class="line">60</span><br><span class="line">61</span><br><span class="line">62</span><br><span class="line">63</span><br><span class="line">64</span><br><span class="line">65</span><br><span class="line">66</span><br><span class="line">67</span><br><span class="line">68</span><br><span class="line">69</span><br><span class="line">70</span><br><span class="line">71</span><br><span class="line">72</span><br><span class="line">73</span><br><span class="line">74</span><br><span class="line">75</span><br><span class="line">76</span><br><span class="line">77</span><br><span class="line">78</span><br><span class="line">79</span><br><span class="line">80</span><br></pre></td><td class="code"><pre><span class="line">2020-05-07 11:31:51,587 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: &#x2F;tmp&#x2F;hadoop-yarn&#x2F;staging&#x2F;root&#x2F;.staging&#x2F;job_1588816383863_0001              </span><br><span class="line">2020-05-07 11:31:51,707 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted &#x3D; false, remoteHostTrusted &#x3D; false                                </span><br><span class="line">2020-05-07 11:31:52,397 INFO input.FileInputFormat: Total input files to process : 1                                                                                      </span><br><span class="line">2020-05-07 11:31:52,439 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted &#x3D; false, remoteHostTrusted &#x3D; false                                </span><br><span class="line">2020-05-07 11:31:52,526 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted &#x3D; false, remoteHostTrusted &#x3D; false                                </span><br><span class="line">2020-05-07 11:31:52,545 INFO mapreduce.JobSubmitter: number of splits:1                                                                                                   </span><br><span class="line">2020-05-07 11:31:52,734 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted &#x3D; false, remoteHostTrusted &#x3D; false                                </span><br><span class="line">2020-05-07 11:31:52,761 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1588816383863_0001                                                                    </span><br><span class="line">2020-05-07 11:31:52,762 INFO mapreduce.JobSubmitter: Executing with tokens: []                                                                                            </span><br><span class="line">2020-05-07 11:31:53,050 INFO conf.Configuration: resource-types.xml not found                                                                                             </span><br><span class="line">2020-05-07 11:31:53,050 INFO resource.ResourceUtils: Unable to find &#39;resource-types.xml&#39;.                                                                                 </span><br><span class="line">2020-05-07 11:31:53,651 INFO impl.YarnClientImpl: Submitted application application_1588816383863_0001                                                                    </span><br><span class="line">2020-05-07 11:31:53,735 INFO mapreduce.Job: The url to track the job: http:&#x2F;&#x2F;node02:8088&#x2F;proxy&#x2F;application_1588816383863_0001&#x2F;                                            </span><br><span class="line">2020-05-07 11:31:53,737 INFO mapreduce.Job: Running job: job_1588816383863_0001                                                                                           </span><br><span class="line">2020-05-07 11:32:07,027 INFO mapreduce.Job: Job job_1588816383863_0001 running in uber mode : false                                                                       </span><br><span class="line">2020-05-07 11:32:07,029 INFO mapreduce.Job:  map 0% reduce 0%                                                                                                             </span><br><span class="line">2020-05-07 11:32:15,316 INFO mapreduce.Job:  map 100% reduce 0%                                                                                                           </span><br><span class="line">2020-05-07 11:32:29,424 INFO mapreduce.Job:  map 100% reduce 100%                                                                                                         </span><br><span class="line">2020-05-07 11:32:30,441 INFO mapreduce.Job: Job job_1588816383863_0001 completed successfully                                                                             </span><br><span class="line">2020-05-07 11:32:30,619 INFO mapreduce.Job: Counters: 53                                                                                                                  </span><br><span class="line">        File System Counters                                                                                                                                              </span><br><span class="line">                FILE: Number of bytes read&#x3D;97                                                                                                                             </span><br><span class="line">                FILE: Number of bytes written&#x3D;441749                                                                                                                      </span><br><span class="line">                FILE: Number of read operations&#x3D;0                                                                                                                         </span><br><span class="line">                FILE: Number of large read operations&#x3D;0                                                                                                                   </span><br><span class="line">                FILE: Number of write operations&#x3D;0                                                                                                                        </span><br><span class="line">                HDFS: Number of bytes read&#x3D;180                                                                                                                            </span><br><span class="line">                HDFS: Number of bytes written&#x3D;59                                                                                                                          </span><br><span class="line">                HDFS: Number of read operations&#x3D;8                                                                                                                         </span><br><span class="line">                HDFS: Number of large read operations&#x3D;0                                                                                                                   </span><br><span class="line">                HDFS: Number of write operations&#x3D;2                                                                                                                        </span><br><span class="line">        Job Counters                                                                                                                                                      </span><br><span class="line">                Launched map tasks&#x3D;1                                                                                                                                      </span><br><span class="line">                Launched reduce tasks&#x3D;1                                                                                                                                   </span><br><span class="line">                Data-local map tasks&#x3D;1                                                                                                                                    </span><br><span class="line">                Total time spent by all maps in occupied slots (ms)&#x3D;6040                                                                                                  </span><br><span class="line">                Total time spent by all reduces in occupied slots (ms)&#x3D;8014                                                                                               </span><br><span class="line">                Total time spent by all map tasks (ms)&#x3D;6040                                                                                                               </span><br><span class="line">                Total time spent by all reduce tasks (ms)&#x3D;8014                                                                                                            </span><br><span class="line">                Total vcore-milliseconds taken by all map tasks&#x3D;6040                                                                                                      </span><br><span class="line">                Total vcore-milliseconds taken by all reduce tasks&#x3D;8014                                                                                                   </span><br><span class="line">                Total megabyte-milliseconds taken by all map tasks&#x3D;6184960                                                                                                </span><br><span class="line">                Total megabyte-milliseconds taken by all reduce tasks&#x3D;8206336                                                                                             </span><br><span class="line">        Map-Reduce Framework                                                                                                                                              </span><br><span class="line">                Map input records&#x3D;12                                                                                                                                      </span><br><span class="line">                Map output records&#x3D;13                                                                                                                                     </span><br><span class="line">                Map output bytes&#x3D;122                                                                                                                                      </span><br><span class="line">                Map output materialized bytes&#x3D;97                                                                                                                          </span><br><span class="line">                Input split bytes&#x3D;104                                                                                                                                     </span><br><span class="line">                Combine input records&#x3D;13                                                                                                                                  </span><br><span class="line">                Combine output records&#x3D;8                                                                                                                                  </span><br><span class="line">                Reduce input groups&#x3D;8                                                                                                                                     </span><br><span class="line">                Reduce shuffle bytes&#x3D;97                                                                                                                                   </span><br><span class="line">                Reduce input records&#x3D;8                                                                                                                                    </span><br><span class="line">                Reduce output records&#x3D;8                                                                                                                                   </span><br><span class="line">                Spilled Records&#x3D;16                                                                                                                                        </span><br><span class="line">                Shuffled Maps &#x3D;1                                                                                                                                          </span><br><span class="line">                Failed Shuffles&#x3D;0                                                                                                                                         </span><br><span class="line">                Merged Map outputs&#x3D;1                                                                                                                                      </span><br><span class="line">                GC time elapsed (ms)&#x3D;136                                                                                                                                  </span><br><span class="line">                CPU time spent (ms)&#x3D;2050                                                                                                                                  </span><br><span class="line">                Physical memory (bytes) snapshot&#x3D;431329280                                                                                                                </span><br><span class="line">                Virtual memory (bytes) snapshot&#x3D;5590605824                                                                                                                </span><br><span class="line">                Total committed heap usage (bytes)&#x3D;406847488                                                                                                              </span><br><span class="line">                Peak Map Physical memory (bytes)&#x3D;268414976                                                                                                                </span><br><span class="line">                Peak Map Virtual memory (bytes)&#x3D;2790809600                                                                                                                </span><br><span class="line">                Peak Reduce Physical memory (bytes)&#x3D;163168256                                                                                                             </span><br><span class="line">                Peak Reduce Virtual memory (bytes)&#x3D;2799796224                                                                                                             </span><br><span class="line">        Shuffle Errors                                                                                                                                                    </span><br><span class="line">                BAD_ID&#x3D;0                                                                                                                                                  </span><br><span class="line">                CONNECTION&#x3D;0                                                                                                                                              </span><br><span class="line">                IO_ERROR&#x3D;0                                                                                                                                                </span><br><span class="line">                WRONG_LENGTH&#x3D;0                                                                                                                                            </span><br><span class="line">                WRONG_MAP&#x3D;0                                                                                                                                               </span><br><span class="line">                WRONG_REDUCE&#x3D;0                                                                                                                                            </span><br><span class="line">        File Input Format Counters                                                                                                                                        </span><br><span class="line">                Bytes Read&#x3D;76                                                                                                                                             </span><br><span class="line">        File Output Format Counters                                                                                                                                       </span><br><span class="line">                Bytes Written&#x3D;59                                                                                                                                          </span><br><span class="line">[root@node02 hadoop-3.1.3]# ll</span><br></pre></td></tr></table></figure>
</li>
<li><p>查看执行结果</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">bin&#x2F;hdfs dfs -cat &#x2F;nan&#x2F;test&#x2F;output&#x2F;part-r-00000</span><br></pre></td></tr></table></figure>

</li>
</ul>

      
    </div>
    
    
    

    

    
      <div>
        <div style="padding: 10px 0; margin: 20px auto; width: 90%; text-align: center;">
  <div>感谢打赏</div>
  <button id="rewardButton" disable="enable" onclick="var qr = document.getElementById('QR'); if (qr.style.display === 'none') {qr.style.display='block';} else {qr.style.display='none'}">
    <span>打赏</span>
  </button>
  <div id="QR" style="display: none;">

    
      <div id="wechat" style="display: inline-block">
        <img id="wechat_qr" src="/unique/images/wx.jpg" alt="楠 微信支付"/>
        <p>微信支付</p>
      </div>
    

    
      <div id="alipay" style="display: inline-block">
        <img id="alipay_qr" src="/unique/images/zfb.jpg" alt="楠 支付宝"/>
        <p>支付宝</p>
      </div>
    

    

  </div>
</div>

      </div>
    

    

    <footer class="post-footer">
      
        <div class="post-tags">
          
            <a href="/tags/Hadoop/" rel="tag"># Hadoop</a>
          
            <a href="/tags/%E5%A4%A7%E6%95%B0%E6%8D%AE/" rel="tag"># 大数据</a>
          
        </div>
      

      
      
      

      
        <div class="post-nav">
          <div class="post-nav-next post-nav-item">
            
              <a href="/2020/05/07/Hadoop%E6%A1%86%E6%9E%B6%E6%A6%82%E8%AE%BA/" rel="next" title="Hadoop框架概论">
                <i class="fa fa-chevron-left"></i> Hadoop框架概论
              </a>
            
          </div>

          <span class="post-nav-divider"></span>

          <div class="post-nav-prev post-nav-item">
            
              <a href="/2020/05/07/Hadoop%20-%20%E6%95%B0%E6%8D%AE%E4%BB%93%E5%BA%93%20-%20%E5%A4%A7%E6%95%B0%E6%8D%AE%20-%20centos%20-%20%E6%90%AD%E5%BB%BA/" rel="prev" title="Hadoop - 数据仓库 - 大数据 - centos - 搭建">
                Hadoop - 数据仓库 - 大数据 - centos - 搭建 <i class="fa fa-chevron-right"></i>
              </a>
            
          </div>
        </div>
      

      
      
    </footer>
  </div>
  
  
  
  </article>



    <div class="post-spread">
      
    </div>
  </div>


          </div>
          


          

  

        </div>
        
          
  
  <div class="sidebar-toggle">
    <div class="sidebar-toggle-line-wrap">
      <span class="sidebar-toggle-line sidebar-toggle-line-first"></span>
      <span class="sidebar-toggle-line sidebar-toggle-line-middle"></span>
      <span class="sidebar-toggle-line sidebar-toggle-line-last"></span>
    </div>
  </div>

  <aside id="sidebar" class="sidebar">
    
    <div class="sidebar-inner">

      

      
        <ul class="sidebar-nav motion-element">
          <li class="sidebar-nav-toc sidebar-nav-active" data-target="post-toc-wrap">
            文章目录
          </li>
          <li class="sidebar-nav-overview" data-target="site-overview-wrap">
            站点概览
          </li>
        </ul>
      

      <section class="site-overview-wrap sidebar-panel">
        <div class="site-overview">
          <div class="site-author motion-element" itemprop="author" itemscope itemtype="http://schema.org/Person">
            
              <p class="site-author-name" itemprop="name">楠</p>
              <p class="site-description motion-element" itemprop="description"></p>
          </div>

          <nav class="site-state motion-element">

            
              <div class="site-state-item site-state-posts">
              
                <a href="/archives/%7C%7C%20archive">
              
                  <span class="site-state-item-count">39</span>
                  <span class="site-state-item-name">日志</span>
                </a>
              </div>
            

            

            
              
              
              <div class="site-state-item site-state-tags">
                <a href="/tags/index.html">
                  <span class="site-state-item-count">25</span>
                  <span class="site-state-item-name">标签</span>
                </a>
              </div>
            

          </nav>

          

          

          
          

          
          

          

        </div>
      </section>

      
      <!--noindex-->
        <section class="post-toc-wrap motion-element sidebar-panel sidebar-panel-active">
          <div class="post-toc">

            
              
            

            
              <div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-1"><a class="nav-link" href="#1-说明"><span class="nav-number">1.</span> <span class="nav-text">1.说明</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#2-本地模式-准备"><span class="nav-number">2.</span> <span class="nav-text">2.本地模式 - 准备</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#3-本地模式-执行计算"><span class="nav-number">3.</span> <span class="nav-text">3.本地模式 -执行计算</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#4-本地模式-查看结果"><span class="nav-number">4.</span> <span class="nav-text">4.本地模式 -查看结果</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#5-集群模式"><span class="nav-number">5.</span> <span class="nav-text">5.集群模式</span></a></li></ol></div>
            

          </div>
        </section>
      <!--/noindex-->
      

      

    </div>
  </aside>


        
      </div>
    </main>

    <footer id="footer" class="footer">
      <div class="footer-inner">
        <div class="copyright">&copy; <span itemprop="copyrightYear">2020</span>
  <span class="with-love">
    <i class="fa fa-user"></i>
  </span>
  <span class="author" itemprop="copyrightHolder">楠</span>

  
</div>




        







        
      </div>
    </footer>

    
      <div class="back-to-top">
        <i class="fa fa-arrow-up"></i>
        
      </div>
    

    

  </div>

  

<script type="text/javascript">
  if (Object.prototype.toString.call(window.Promise) !== '[object Function]') {
    window.Promise = null;
  }
</script>









  












  
  
    <script type="text/javascript" src="//cdn.bootcdn.net/ajax/libs/jquery/2.1.3/jquery.js"></script>
  

  
  
    <script type="text/javascript" src="/lib/fastclick/lib/fastclick.min.js?v=1.0.6"></script>
  

  
  
    <script type="text/javascript" src="/lib/jquery_lazyload/jquery.lazyload.js?v=1.9.7"></script>
  

  
  
    <script type="text/javascript" src="//cdn.bootcdn.net/ajax/libs/velocity/1.2.1/velocity.min.js"></script>
  

  
  
    <script type="text/javascript" src="/lib/velocity/velocity.ui.min.js?v=1.2.1"></script>
  

  
  
    <script type="text/javascript" src="//cdn.bootcdn.net/ajax/libs/fancybox/2.1.5/jquery.fancybox.js"></script>
  


  


  <script type="text/javascript" src="/js/src/utils.js?v=5.1.4"></script>

  <script type="text/javascript" src="/js/src/motion.js?v=5.1.4"></script>



  
  

  
  <script type="text/javascript" src="/js/src/scrollspy.js?v=5.1.4"></script>
<script type="text/javascript" src="/js/src/post-details.js?v=5.1.4"></script>



  


  <script type="text/javascript" src="/js/src/bootstrap.js?v=5.1.4"></script>



  


  




	





  





  










  

  <script type="text/javascript">
    // Popup Window;
    var isfetched = false;
    var isXml = true;
    // Search DB path;
    var search_path = "search.xml";
    if (search_path.length === 0) {
      search_path = "search.xml";
    } else if (/json$/i.test(search_path)) {
      isXml = false;
    }
    var path = "/" + search_path;
    // monitor main search box;

    var onPopupClose = function (e) {
      $('.popup').hide();
      $('#local-search-input').val('');
      $('.search-result-list').remove();
      $('#no-result').remove();
      $(".local-search-pop-overlay").remove();
      $('body').css('overflow', '');
    }

    function proceedsearch() {
      $("body")
        .append('<div class="search-popup-overlay local-search-pop-overlay"></div>')
        .css('overflow', 'hidden');
      $('.search-popup-overlay').click(onPopupClose);
      $('.popup').toggle();
      var $localSearchInput = $('#local-search-input');
      $localSearchInput.attr("autocapitalize", "none");
      $localSearchInput.attr("autocorrect", "off");
      $localSearchInput.focus();
    }

    // search function;
    var searchFunc = function(path, search_id, content_id) {
      'use strict';

      // start loading animation
      $("body")
        .append('<div class="search-popup-overlay local-search-pop-overlay">' +
          '<div id="search-loading-icon">' +
          '<i class="fa fa-spinner fa-pulse fa-5x fa-fw"></i>' +
          '</div>' +
          '</div>')
        .css('overflow', 'hidden');
      $("#search-loading-icon").css('margin', '20% auto 0 auto').css('text-align', 'center');

      $.ajax({
        url: path,
        dataType: isXml ? "xml" : "json",
        async: true,
        success: function(res) {
          // get the contents from search data
          isfetched = true;
          $('.popup').detach().appendTo('.header-inner');
          var datas = isXml ? $("entry", res).map(function() {
            return {
              title: $("title", this).text(),
              content: $("content",this).text(),
              url: $("url" , this).text()
            };
          }).get() : res;
          var input = document.getElementById(search_id);
          var resultContent = document.getElementById(content_id);
          var inputEventFunction = function() {
            var searchText = input.value.trim().toLowerCase();
            var keywords = searchText.split(/[\s\-]+/);
            if (keywords.length > 1) {
              keywords.push(searchText);
            }
            var resultItems = [];
            if (searchText.length > 0) {
              // perform local searching
              datas.forEach(function(data) {
                var isMatch = false;
                var hitCount = 0;
                var searchTextCount = 0;
                var title = data.title.trim();
                var titleInLowerCase = title.toLowerCase();
                var content = data.content.trim().replace(/<[^>]+>/g,"");
                var contentInLowerCase = content.toLowerCase();
                var articleUrl = decodeURIComponent(data.url);
                var indexOfTitle = [];
                var indexOfContent = [];
                // only match articles with not empty titles
                if(title != '') {
                  keywords.forEach(function(keyword) {
                    function getIndexByWord(word, text, caseSensitive) {
                      var wordLen = word.length;
                      if (wordLen === 0) {
                        return [];
                      }
                      var startPosition = 0, position = [], index = [];
                      if (!caseSensitive) {
                        text = text.toLowerCase();
                        word = word.toLowerCase();
                      }
                      while ((position = text.indexOf(word, startPosition)) > -1) {
                        index.push({position: position, word: word});
                        startPosition = position + wordLen;
                      }
                      return index;
                    }

                    indexOfTitle = indexOfTitle.concat(getIndexByWord(keyword, titleInLowerCase, false));
                    indexOfContent = indexOfContent.concat(getIndexByWord(keyword, contentInLowerCase, false));
                  });
                  if (indexOfTitle.length > 0 || indexOfContent.length > 0) {
                    isMatch = true;
                    hitCount = indexOfTitle.length + indexOfContent.length;
                  }
                }

                // show search results

                if (isMatch) {
                  // sort index by position of keyword

                  [indexOfTitle, indexOfContent].forEach(function (index) {
                    index.sort(function (itemLeft, itemRight) {
                      if (itemRight.position !== itemLeft.position) {
                        return itemRight.position - itemLeft.position;
                      } else {
                        return itemLeft.word.length - itemRight.word.length;
                      }
                    });
                  });

                  // merge hits into slices

                  function mergeIntoSlice(text, start, end, index) {
                    var item = index[index.length - 1];
                    var position = item.position;
                    var word = item.word;
                    var hits = [];
                    var searchTextCountInSlice = 0;
                    while (position + word.length <= end && index.length != 0) {
                      if (word === searchText) {
                        searchTextCountInSlice++;
                      }
                      hits.push({position: position, length: word.length});
                      var wordEnd = position + word.length;

                      // move to next position of hit

                      index.pop();
                      while (index.length != 0) {
                        item = index[index.length - 1];
                        position = item.position;
                        word = item.word;
                        if (wordEnd > position) {
                          index.pop();
                        } else {
                          break;
                        }
                      }
                    }
                    searchTextCount += searchTextCountInSlice;
                    return {
                      hits: hits,
                      start: start,
                      end: end,
                      searchTextCount: searchTextCountInSlice
                    };
                  }

                  var slicesOfTitle = [];
                  if (indexOfTitle.length != 0) {
                    slicesOfTitle.push(mergeIntoSlice(title, 0, title.length, indexOfTitle));
                  }

                  var slicesOfContent = [];
                  while (indexOfContent.length != 0) {
                    var item = indexOfContent[indexOfContent.length - 1];
                    var position = item.position;
                    var word = item.word;
                    // cut out 100 characters
                    var start = position - 20;
                    var end = position + 80;
                    if(start < 0){
                      start = 0;
                    }
                    if (end < position + word.length) {
                      end = position + word.length;
                    }
                    if(end > content.length){
                      end = content.length;
                    }
                    slicesOfContent.push(mergeIntoSlice(content, start, end, indexOfContent));
                  }

                  // sort slices in content by search text's count and hits' count

                  slicesOfContent.sort(function (sliceLeft, sliceRight) {
                    if (sliceLeft.searchTextCount !== sliceRight.searchTextCount) {
                      return sliceRight.searchTextCount - sliceLeft.searchTextCount;
                    } else if (sliceLeft.hits.length !== sliceRight.hits.length) {
                      return sliceRight.hits.length - sliceLeft.hits.length;
                    } else {
                      return sliceLeft.start - sliceRight.start;
                    }
                  });

                  // select top N slices in content

                  var upperBound = parseInt('1');
                  if (upperBound >= 0) {
                    slicesOfContent = slicesOfContent.slice(0, upperBound);
                  }

                  // highlight title and content

                  function highlightKeyword(text, slice) {
                    var result = '';
                    var prevEnd = slice.start;
                    slice.hits.forEach(function (hit) {
                      result += text.substring(prevEnd, hit.position);
                      var end = hit.position + hit.length;
                      result += '<b class="search-keyword">' + text.substring(hit.position, end) + '</b>';
                      prevEnd = end;
                    });
                    result += text.substring(prevEnd, slice.end);
                    return result;
                  }

                  var resultItem = '';

                  if (slicesOfTitle.length != 0) {
                    resultItem += "<li><a href='" + articleUrl + "' class='search-result-title'>" + highlightKeyword(title, slicesOfTitle[0]) + "</a>";
                  } else {
                    resultItem += "<li><a href='" + articleUrl + "' class='search-result-title'>" + title + "</a>";
                  }

                  slicesOfContent.forEach(function (slice) {
                    resultItem += "<a href='" + articleUrl + "'>" +
                      "<p class=\"search-result\">" + highlightKeyword(content, slice) +
                      "...</p>" + "</a>";
                  });

                  resultItem += "</li>";
                  resultItems.push({
                    item: resultItem,
                    searchTextCount: searchTextCount,
                    hitCount: hitCount,
                    id: resultItems.length
                  });
                }
              })
            };
            if (keywords.length === 1 && keywords[0] === "") {
              resultContent.innerHTML = '<div id="no-result"><i class="fa fa-search fa-5x" /></div>'
            } else if (resultItems.length === 0) {
              resultContent.innerHTML = '<div id="no-result"><i class="fa fa-frown-o fa-5x" /></div>'
            } else {
              resultItems.sort(function (resultLeft, resultRight) {
                if (resultLeft.searchTextCount !== resultRight.searchTextCount) {
                  return resultRight.searchTextCount - resultLeft.searchTextCount;
                } else if (resultLeft.hitCount !== resultRight.hitCount) {
                  return resultRight.hitCount - resultLeft.hitCount;
                } else {
                  return resultRight.id - resultLeft.id;
                }
              });
              var searchResultList = '<ul class=\"search-result-list\">';
              resultItems.forEach(function (result) {
                searchResultList += result.item;
              })
              searchResultList += "</ul>";
              resultContent.innerHTML = searchResultList;
            }
          }

          if ('auto' === 'auto') {
            input.addEventListener('input', inputEventFunction);
          } else {
            $('.search-icon').click(inputEventFunction);
            input.addEventListener('keypress', function (event) {
              if (event.keyCode === 13) {
                inputEventFunction();
              }
            });
          }

          // remove loading animation
          $(".local-search-pop-overlay").remove();
          $('body').css('overflow', '');

          proceedsearch();
        }
      });
    }

    // handle and trigger popup window;
    $('.popup-trigger').click(function(e) {
      e.stopPropagation();
      if (isfetched === false) {
        searchFunc(path, 'local-search-input', 'local-search-result');
      } else {
        proceedsearch();
      };
    });

    $('.popup-btn-close').click(onPopupClose);
    $('.popup').click(function(e){
      e.stopPropagation();
    });
    $(document).on('keyup', function (event) {
      var shouldDismissSearchPopup = event.which === 27 &&
        $('.search-popup').is(':visible');
      if (shouldDismissSearchPopup) {
        onPopupClose();
      }
    });
  </script>





  

  
  <script src="https://cdn1.lncld.net/static/js/av-core-mini-0.6.4.js"></script>
  <script>AV.initialize("Sa0o8MCYgbUVEj0x7eSTSFUh-gzGzoHsz", "gx0XqbFnyv1r7nObHHmklEwO");</script>
  <script>
    function showTime(Counter) {
      var query = new AV.Query(Counter);
      var entries = [];
      var $visitors = $(".leancloud_visitors");

      $visitors.each(function () {
        entries.push( $(this).attr("id").trim() );
      });

      query.containedIn('url', entries);
      query.find()
        .done(function (results) {
          var COUNT_CONTAINER_REF = '.leancloud-visitors-count';

          if (results.length === 0) {
            $visitors.find(COUNT_CONTAINER_REF).text(0);
            return;
          }

          for (var i = 0; i < results.length; i++) {
            var item = results[i];
            var url = item.get('url');
            var time = item.get('time');
            var element = document.getElementById(url);

            $(element).find(COUNT_CONTAINER_REF).text(time);
          }
          for(var i = 0; i < entries.length; i++) {
            var url = entries[i];
            var element = document.getElementById(url);
            var countSpan = $(element).find(COUNT_CONTAINER_REF);
            if( countSpan.text() == '') {
              countSpan.text(0);
            }
          }
        })
        .fail(function (object, error) {
          console.log("Error: " + error.code + " " + error.message);
        });
    }

    function addCount(Counter) {
      var $visitors = $(".leancloud_visitors");
      var url = $visitors.attr('id').trim();
      var title = $visitors.attr('data-flag-title').trim();
      var query = new AV.Query(Counter);

      query.equalTo("url", url);
      query.find({
        success: function(results) {
          if (results.length > 0) {
            var counter = results[0];
            counter.fetchWhenSave(true);
            counter.increment("time");
            counter.save(null, {
              success: function(counter) {
                var $element = $(document.getElementById(url));
                $element.find('.leancloud-visitors-count').text(counter.get('time'));
              },
              error: function(counter, error) {
                console.log('Failed to save Visitor num, with error message: ' + error.message);
              }
            });
          } else {
            var newcounter = new Counter();
            /* Set ACL */
            var acl = new AV.ACL();
            acl.setPublicReadAccess(true);
            acl.setPublicWriteAccess(true);
            newcounter.setACL(acl);
            /* End Set ACL */
            newcounter.set("title", title);
            newcounter.set("url", url);
            newcounter.set("time", 1);
            newcounter.save(null, {
              success: function(newcounter) {
                var $element = $(document.getElementById(url));
                $element.find('.leancloud-visitors-count').text(newcounter.get('time'));
              },
              error: function(newcounter, error) {
                console.log('Failed to create');
              }
            });
          }
        },
        error: function(error) {
          console.log('Error:' + error.code + " " + error.message);
        }
      });
    }

    $(function() {
      var Counter = AV.Object.extend("Counter");
      if ($('.leancloud_visitors').length == 1) {
        addCount(Counter);
      } else if ($('.post-title-link').length > 1) {
        showTime(Counter);
      }
    });
  </script>



  

  

  
  

  

  

  

</body>
</html>
